| Journal: | Computación y sistemas |
| Database: | PERIÓDICA |
| System number: | 000411061 |
| ISSN: | 1405-5546 |
| Authors: | Chakma, Kunal1 Das, Amitava2 |
| Institutions: | 1National Institute of Technology Agartala, Agartala, Tripura. India 2Indian Institute of Information Technology, Sri City, Andhra Pradesh. India |
| Year: | 2016 |
| Season: | Jul-Sep |
| Volumen: | 20 |
| Number: | 3 |
| Pages: | 425-434 |
| Country: | México |
| Language: | Inglés |
| Document type: | Artículo |
| Approach: | Experimental, aplicado |
| English abstract | Social media has become almost ubiquitous in present times. Such proliferation leads to automatic information processing need and has various challenges. The nature of social media content is mostly informal. Additionally while talking about Indian social media, users often prefer to use Roman transliterations of their native languages and English embedding. Therefore Information retrieval (IR) on such Indian social media data is a challenging and difficult task when the documents and the queries are a mixture of two or more languages written in either the native scripts and/or in the Roman transliterated form. Here in this paper we have emphasized issues related with Information Retrieval (IR) for Code-Mixed Indian social media texts, particularly texts from twitter. We describe a corpus collection process, reported limitations of available state-of-the-art IR systems on such data and formalize the problem of Code-Mixed Information Retrieval on informal texts |
| Disciplines: | Ciencias de la computación, Literatura y lingüística |
| Keyword: | Procesamiento de datos, Lingüística aplicada, Lingüística computacional, Redes sociales, Contenido generado por el usuario, Mezcla de códigos, Recuperación de información |
| Keyword: | Computer science, Literature and linguistics, Data processing, Applied linguistics, Computing linguistics, Social networks, User generated content, Code mixing, Information retrieval |
| Full text: | Texto completo (Ver HTML) |
